1956 search results - page 37 / 392 » Learning the Relative Importance of Features in Image Data |
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
JAIR
2006
13 years 8 months ago
2006
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
DAGSTUHL
2007
13 years 10 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
Registration of an image, the query or reference, to a database of rotated and translated exemplars constitutes an important image retrieval and indexing application which arises i...
JAIR
2010
13 years 7 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...